Omobayode Fagbohungbe

According to our database, Omobayode Fagbohungbe authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference.

Manuel Le Gallo, Corey Lammie, Julian Büchel, Fabio Carta, Omobayode Fagbohungbe, Charles Mackin, Hsinyu Tsai, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui, Malte J. Rasch

CoRR, 2023

Fast offset corrected in-memory training.

Malte J. Rasch, Fabio Carta, Omobayode Fagbohungbe, Tayfun Gokmen

CoRR, 2023

2022

A Joint Energy and Latency Framework for Transfer Learning Over 5G Industrial Edge Networks.

Bo Yang, Omobayode Fagbohungbe, Xuelin Cao, Chau Yuen, Lijun Qian, Dusit Niyato, Yan Zhang

IEEE Trans. Ind. Informatics, 2022

Efficient Privacy Preserving Edge Intelligent Computing Framework for Image Classification in IoT.

Omobayode Fagbohungbe, Sheikh Rufsan Reza, Xishuang Dong, Lijun Qian

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Impact of Learning Rate on Noise Resistant Property of Deep Learning Models.

Omobayode Fagbohungbe, Lijun Qian

CoRR, 2022

The Effect of Batch Normalization on Noise Resistant Property of Deep Learning Models.

Omobayode Fagbohungbe, Lijun Qian

IEEE Access, 2022

Impact of L1 Batch Normalization on Analog Noise Resistant Property of Deep Learning Models.

Omobayode Fagbohungbe, Lijun Qian

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Benchmarking Inference Performance of Deep Learning Models on Analog Devices.

Omobayode Fagbohungbe, Lijun Qian

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Efficient Privacy Preserving Edge Computing Framework for Image Classification.

Omobayode Fagbohungbe, Sheikh Rufsan Reza, Xishuang Dong, Lijun Qian

CoRR, 2020